IBM Eases Content ClassificationIBM Eases Content Classification

IBM this week announced self-learning content classification software designed to automatically categorize large volumes of information. The offerings are intended to help organizations find content and understand whether it's important and how it should be handled. The software is particularly aimed at classifying content that is unmanaged so it can be more easily found and retrieved.

Doug Henschen, Executive Editor, Enterprise Apps

May 24, 2007

1 Min Read
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IBM this week announced self-learning content classification software designed to automatically categorize large volumes of information. The offerings are intended to help organizations find content and understand whether it's important and how it should be handled. The software is particularly aimed at classifying content that is unmanaged so it can be more easily found and retrieved.There are two new products: The IBM Classification Module for OmniFind Discovery Edition and IBM Classification Module for IBM FileNet P8. Both products can classify a diverse range of content types in support or archiving, compliance, e-mail management, business process management and taxonomy management initiatives. IBM Classification Module for OmniFind Discovery Edition is services enabled, so it can deliver classification as a service in any content-centric application. The Classification Module for IBM FileNet P8 automates the tagging/indexing steps essential in document management. The new software supports most Western European languages as well as Japanese, Chinese and Korean.IBM this week announced self-learning content classification software designed to automatically categorize large volumes of information. The offerings are intended to help organizations find content and understand whether it's important and how it should be handled. The software is particularly aimed at classifying content that is unmanaged so it can be more easily found and retrieved.

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About the Author

Doug Henschen

Executive Editor, Enterprise Apps

Doug Henschen is Executive Editor of information, where he covers the intersection of enterprise applications with information management, business intelligence, big data and analytics. He previously served as editor in chief of Intelligent Enterprise, editor in chief of Transform Magazine, and Executive Editor at DM News. He has covered IT and data-driven marketing for more than 15 years.

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